Abstract. We apply a recent formalization of visualization as information retrieval to linear projections. We introduce a method that optimizes a linear projection for an informati...
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
Abstract. In this paper we present a novel method for pruning redundant weights of a trained multilayer Perceptron (MLP). The proposed method is based on the correlation analysis o...
Abstract. In Measurement Based Admission Control (MBAC), the decision of accepting or rejecting a new ow is based on measurements of the current trac situation. Since MBAC relies o...